Plagiarized Image Detection System based on CBIR

International audiencePlagiarism detection is a well known phenomenon in the academic arena. Copying other people is considered as a serious offence that needs to be checked. For this many plagiarism detection systems are available. Many of such plagiarism systems do not include figures and diagrams for checking. They simply discard them which results in look holes that people can take advantage of. In short people can plagiarize diagrams and figures easily without the current plagiarism system detecting it. So there is a need to develop a system that will detect plagiarism in diagrams and figures as well. The main goal of this system is to develop an image plagiarism system which will be primarily based in CBIR. This system will focuses on image detection. There will be a database consisting of images. The user will give an image as input. The features of input image will be extracted and it will be compared with the features of the images present in database. The one which are most matching will be retrieved. The output image which is retrieved from database will be the similar image of the input image